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Principal Scientist, Imaging AI

$129,000 - $177,100/Yr

Bristol-Myers Squibb - San Diego, CA

posted 2 months ago

Full-time - Senior
Remote - San Diego, CA
1,001-5,000 employees
Chemical Manufacturing

About the position

The Principal Scientist, Imaging AI at Bristol-Myers Squibb is a pivotal role within the Informatics and Predictive Sciences (IPS) organization, focusing on advancing the company's pipeline through innovative tissue-based image analysis. This position involves collaboration with various stakeholders to implement deep learning workflows for analyzing digital pathology slides, contributing to the development of cutting-edge AI methods, and enhancing the data infrastructure for imaging research. The role emphasizes both independent and collaborative work, requiring a strong background in computational research and image analysis.

Responsibilities

  • Hands-on implementation and use of pathology whole slide image analysis tools and technology.
  • Collaboratively devise and execute research strategies that drive decision making in pre-clinical and clinical programs.
  • Work alongside imaging scientists to manage, prepare and analyze pathology whole slide images to support translational research across multiple disease/therapeutic areas including oncology, immunology, and neuroscience.
  • Active participation in identifying, testing and enabling use of pathology image management and analysis systems, tools, and technology.
  • Coordinate stakeholders, guide/supervise junior researchers, often in a matrixed setting.
  • Prepare and present findings from image analysis projects to other groups within BMS and externally at conferences/workshops.

Requirements

  • Bachelor's Degree with 8+ years of academic/industry experience, or a Master's Degree with 6+ years of experience, or a PhD with 4+ years of experience in a relevant field.
  • Proficiency in programming languages (Python, R, etc.) and data analysis tools (Jupyter Notebooks, Pandas, RStudio, etc.).
  • Experience with digital pathology analysis software packages such as HALO, Visiopharm, QuPath, or other image analysis platforms.
  • Prior experience in developing deep-learning based image analysis workflows for H&E, IHC, and mIF images.

Nice-to-haves

  • Ph.D. in Biomedical Engineering, Computer Science, Bioinformatics, or related discipline; or M.S. with 3 or more years of related experience in a university pathology lab or pharmaceutical or biotech company.
  • Experience with high-performance & cloud computing, container strategies (e.g. Docker), developer tools and machine learning lifecycle management tools.
  • Strong problem-solving and collaboration skills, and rigorous and creative thinking.
  • Track record of scientific leadership exemplified by peer-reviewed publications related to pathology image analysis.

Benefits

  • Dental insurance
  • Disability insurance
  • Employee assistance program
  • Health insurance
  • Life insurance
  • Military leave
  • Paid holidays
  • Paid vacation
  • Paid volunteer days
  • Parental leave
  • Caregiver leave
  • Bereavement leave
  • Adoption and surrogacy reimbursement
  • Fertility/infertility benefits
  • Tuition reimbursement
  • Recognition program
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